Individual skill
evolving-ai-agents
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
14-agents/a-evolve/SKILL.md
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- ai Repository topic
- ai-research Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- codex Repository topic
- gemini Repository topic
- gpt-5 Repository topic
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- huggingface Repository topic
- agent-evolution Declared skill tag
- self-improving-agents Declared skill tag
- prompt-optimization Declared skill tag
- llm Declared skill tag
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# Evolving AI Agents with A-Evolve
## Overview
A-Evolve is universal infrastructure for evolving any AI agent across any domain using any evolution algorithm with zero manual engineering. It represents all evolvable agent state as files (prompts, skills, memory, tools), runs iterative solve-observe-evolve cycles against benchmarks, and uses LLM-driven mutation to improve agent performance automatically.
**Benchmark results** (Claude Opus 4.6):
- MCP-Atlas: 79.4% (#1)
- SWE-bench Verified: 76.8% (~#5)
- Terminal-Bench 2.0: 76.5% (~#7)
- SkillsBench: 34.9% (#2)
## When to Use A-Evolve
